Faculty of Business and Law

Dean’s Message

As one of the pioneers offering an Entrepreneurship stream in a Bachelor of Business Administration programme, our Faculty of Business and Law focuses on innovation and social responsibility. We have been training young entrepreneurs in starting their own business, or as corporate entrepreneurs promoting new initiatives in large organisations.

Our programmes are designed for whole person development, training leaders not only in their business skills but also in their social and humanistic values. Our vision is that our students join society to apply their leadership capacity in creating social changes, as well as offering solutions to improve people’s lives through innovative ventures and social enterprises.

At the Faculty of Business and Law, we adopt an international style of teaching through various methods including problem-solving, case studies, project-based learning, to name a few. We aim to offer a unique experience to our students where internationalisation meets local tradition. We do this through a faculty of multiple nationalities, students from different parts of the worlds, a mixture of global and local business case studies, and opportunities to visit different organisations in Macao and other nearby Chinese cities.

 

Recent Publications by the Faculty of Business and Law

  1. Marques, J. A. L., Neto, A. C., Silva, S. C., & Bigne, E. (2025). Predicting consumer ad preferences: Leveraging a machine learning approach for EDA and FEA neurophysiological metrics. Psychology & Marketing, 42(1), 175-192. [Q1 Journal].
  2. Qian, C., Lobo Marques, J. A., de Alexandria, A. R., & Fong, S. J. (2025). Application of Multiple Deep Learning Architectures for Emotion Classification Based on Facial Expressions. Sensors, 25(5), 1478. [Q1 Journal].
  3. Zhao, T., Gois, F. N. B., Marques, J. A. L., dos Santos Silva, B. R., Cortez, P., Jagatheesaperumal, S. K., & de Albuquerque, V. H. C. (2025). AutoML-based EEG signal analysis in neuro-marketing classification using biclustering method. Applied Soft Computing, 113412. [Q1 Journal].
  4. Lin, C. Y., & Marques, J. A. L. (2024). Stock market prediction using artificial intelligence: A systematic review of systematic reviews. Social Sciences & Humanities Open, 9, 100864. Elsevier. https://doi.org/10.1016/j.ssaho.2024.100864. [Q1 Journal]
  5. Toshevska-Trpchevska, K., Lei, W. C., Kocev, L., & Tonovska, J. (2024). Regional Trade Agreement: Tool to Promote Climate-Smart and Sustainable Trade. InterEULawEast, 11(2), 217-244. https://doi.org/10.22598/iele.2024.11.2.10. [Q1 Journal]
  6. Lampo A, Silva SC, Duarte P (2025), The role of environmental concern and technology show-off on electric vehicles adoption: the case of Macau. International Journal of Emerging Markets, Vol. 20 No. 2 pp. 561–583. [Q1 Journal]
  7. Lei, W. C. & Wang X. (2024). Impacts of Central Bank Digital Currency on Regional Economic Integration: Evidence from the Greater Bay Area of China. The Chinese Economy, 57(5), 415-428. https://doi.org/10.1080/10971475.2024.2333124. [Q2 Journal]
  8. Fernandes, J. V. M. R., Alexandria, A. R. D., Marques, J. A. L., Assis, D. F. D., Motta, P. C., & Silva, B. R. D. S. (2024). Emotion Detection from EEG Signals Using Machine Deep Learning Models. Bioengineering, 11(8), 782. [Q2 Journal].

Books

  1. Y. O. May, A.P. Rafael & A. Z. Machava (Eds). (2025). Law and Development Research Network – Estudos v.1. Essere nel Mondo. Santa Cruz do Sul. ISBN: 978-65-5790-102-1. Available: https://www.esserenelmondo.com.br/it/diritto-law-and-development-research-network-ebook252.php
  2. Lampo, A. (2025). Promptly Yours: A Guide to AI Prompting, Kindle edition [Amazon] ASIN: B0FWX4CK21  [book]

Last Updated: January 22, 2026 at 2:58 pm

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